Enhance the performance of your PostgreSQL system with this handy guide while avoiding common pitfalls that can slow it down.
Key Features
- Learn the right techniques to obtain optimal PostgreSQL database performance, ranging from initial design to routine maintenance
- Fine tune the performance of your queries and avoid the common pitfalls that can slow your system down
- Contains tips and tricks on scaling successful database installations, and ensuring a highly available PostgreSQL solution
Book Description
Database administrators and developers spend years learning techniques to configure their PostgreSQL database servers for optimal performance, mostly when they encounter performance issues. Scalability and high availability of the database solution is equally important these days. This book will show you how to configure new database installations and optimize existing database server installations using PostgreSQL 9.6.
You will start with the basic concepts of database performance, because all successful database applications are destined to eventually run into issues when scaling up their performance. You will not only learn to optimize your database and queries for optimal performance, but also detect the real performance bottlenecks using PostgreSQL tools and some external tools. Next, you will learn how to benchmark your hardware and tune your operating system. Optimize your queries against the database with the help of right indexes, and monitor every layer, ranging from hardware to queries. Moving on, you will see how connection pooling, caching, partitioning, and replication will help you handle increasing database workloads.
Achieving high database performance is not easy, but you can learn it by using the right guide-PostgreSQL 9.6 High Performance.
What You Will Learn
- Learn the best practices to configure your PostgreSQL 9.6 database for optimal performance
- Write optimal queries and techniques to detect performance issue in queries
- Fine tune the performance of your queries using benchmarking and indexing techniques
- Ensure high performance and a highly available database using the scaling and replication techniques
- Discover how to make informed speed and reliability trade-offs
- Handle increasing database workloads without any hassle
- Use monitoring insights to continuously rework the design and configuration for best performance
Who This Book Is For
This book is for intermediate to advanced database administrators and developers who use or plan to exploit the features of PostgreSQL in the best possible manner. While administrators can benefit from the topics related to the installation, configuration, and optimization of the server, developers will learn how to write optimal queries and address performance issues in their database design. This book will also benefit the PostgreSQL internal architects in being able to monitor the performance using benchmarking tools.
Jake Kronika, a senior software engineer with nearly 25 years' experience, has been working with Python since 2005, and Django since 2007. Evolving alongside the web development space, his skillset encompasses HTML5, CSS3, and ECMAScript 6 on the frontend, plus Python, Django, Ruby on Rails, Node.js, and much more besides on the server side. Currently a senior software engineer and development team lead, he collaborates with skilled designers, business stakeholders, and developers around the world to architect robust web applications. In his spare time, he also provides full-spectrum web services as sole proprietor of Gridline Design and Development. Prior to this book, he has acted as a technical reviewer for several other Packt titles.
Aidas Bendoraitis has been professionally working with web technologies for over a decade. Over the last 10 years at a Berlin-based company, studio 38 pure communication GmbH, together with a creative team, he has developed a number of small and large-scale Django projects, mostly in the cultural area. At the moment he is also working as software architect at a London-based mobile startup, Hype. Aidas regularly attends the meetups of the Django User Group in Berlin, occasionally visits Django and Python conferences, and writes a blog about Django.
